Dataset Information

Anthocyanin transcriptional profile and pigmentation pattern in the purple tomato fruit in response to light

ABSTRACT: Anthocyanins are specialized plant metabolites with significant dietary value due to their antioxidant and anti-inflammatory properties. Extensive research has indicated that dietary intake of these phenolic compounds contributes to preventing various chronic diseases. Consequently, incorporating anthocyanin-rich foods into one's diet, particularly from natural sources, is highly beneficial. The tomato (Solanum lycopersicum) is the most consumed vegetable worldwide, making it an excellent candidate for anthocyanin-enrichment strategies. The activation of anthocyanin biosynthesis is light-dependent in tomato, but this mechanism has not been entirely characterized. In this study, a purple tomato line in the cv. Micro-Tom (MT-Aft/atv/hp2) was utilized to investigate cyanic fruits developed under varying light conditions. This genotype is derived from natural genetic variation and exhibits anthocyanin accumulation starting early in fruit development. Transcriptional analyses of the fruit peel (exocarp or epicarp) and flesh (mesocarp) revealed that the bHLH transcription factor SlAN1 (Solyc09g065100) is the limiting factor for anthocyanin accumulation in both tissues. In this genotype, the absence of anthocyanin accumulation in the flesh results from the sun-blocking effect of the cyanic epicarp on the mesocarp, preventing light from penetrating deeper into the fruit during its development. This research enhances our comprehension of the genetic and environmental regulation of anthocyanin accumulation in fruit tissues, offering valuable insights for plant breeding and human nutrition.

ORGANISM(S): Solanum lycopersicum

PROVIDER: GSE235565 | GEO | 2023/06/27

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.

Project description:Background: Anthocyanins are the most important compounds for nutritional quality and economic values of blood orange. However, there are few reports on the pre-harvest treatment accelerate the accumulation of anthocyanins in postharvest blood orange fruit. Here, we performed a comparative Transcriptome and metabolomics analysis to elucidate the underlying mechanism involved in seasonal drought (SD) treatment during fruit expansion stage on anthocyanin accumulation in postharvest ‘Tarocco’ blood orange fruit. Results: Our results showed that SD treatment slowed down the fruit enlargement and increased the sugar accumulation during fruit development and matured period. Obviously, under SD treatment, the accumulation of anthocyanin in blood orange fruit during postharvest storage was significantly accelerated and markedly higher than that in CK. Meanwhile, the total flavonoids and phenols contents and antioxidant activity in SD treatment fruit were also sensibly increased during postharvest storage. Based on metabolome, we found that substrates required for anthocyanin biosynthesis, such as amino acids and their derivatives, and phenolic acids, have significantly accumulated and higher in SD treated mature fruit compared with that of CK. Further according to the results of transcriptome data and weighted gene coexpression correlation network analysis (WGCNA) analysis, phenylalanine ammonia-lyase (PAL3) was considered key structural gene. qRT-PCR analysis verified that the PAL3 was highly expressed in SD treated postharvest stored fruit and was significantly positively correlated with the anthocyanin content. Moreover, we found that other structural genes in anthocyanin biosynthesis pathway were also upregulated under SD treatment through transcriptome data and qRT-PCR analysis. Conclusions: The findings suggest that SD treatment promotes the accumulation of substrates necessary for anthocyanin biosynthesis during fruit ripening process, and activates the expression of anthocyanin biosynthesis pathway genes during postharvest storage period, especially PAL3, co-contributed to the rapid accumulation of anthocyanin. The present study provides a theoretical basis for postharvest quality control and water-saving utilization of blood orange fruit.

Project description:Five rootstock cultivars of differing vigor: vigorous (Atlas and Brights Hybrid 5), standard (Krymsk 86 and Lovell) and dwarfing (Krymsk 1) with Redhaven as scion were studied for their impact on internal fruit quality and maturity. Five years of data showed that average yield (kg per tree) and fruit count increased significantly with increasing vigor (trunk cross sectional area, TCSA), however, no difference was observed in fruit size across rootstocks. In 2019, a detailed peach fruit quality analysis on fruit of equal maturity (based on index of absorbance difference, IAD) coming from trees with equal crop load (no. of fruit cm-2 of TCSA) characterized the direct impact of rootstock vigor on peach internal quality. Twenty-five fruits from each rootstock were assessed for maturity [IAD and flesh firmness (FF)] and internal quality [dry matter content (DMC) and soluble solids concentration (SSC)]. Physiologically characterized peach fruit mesocarp was further analyzed by non-targeted metabolite profiling using gas chromatography mass spectrometry (GC-MS). To account for differences in light availability created by the varying levels of vigor, and its influence on the developing fruits internal quality, mid-canopy photosynthetic active radiation transmission (i.e., light availability) was collected across genotypes with a line quantum sensor. DMC and SSC increased significantly with decreasing vigor and increasing light availability, potentially due to reduced intra-tree shading and better light distribution within the canopy. Metabolite distribution was associated with rootstock vigor class, mid-canopy light availability and fruit quality characteristics. Fructose, glucose, sorbose, neochlorogenic and quinic acids, catechin and sorbitol were associated with high light environments and enhanced quality traits, while sucrose, butanoic and malic acids related to low light conditions and inferior fruit quality. These outcomes show that while rootstock genotype and vigor are influencing peach tree productivity and yield, their effect on manipulating the light environment within the canopy also plays a significant role in fruit quality development.

Project description:Tomato (Solanum lycopersicum) is a model crop for studying development regulation and ripening in flesh fruits and vegetables. Supplementary light to maintain the optimal light environment can lead to the stable growth of tomatoes in greenhouses and areas without sufficient daily light integral. Technological advances in genome-wide molecular phenotyping have dramatically enhanced our understanding of metabolic shifts in the plant metabolism across tomato fruit development. However, comprehensive metabolic and transcriptional behaviors along the developmental process under supplementary light provided by light-emitting diodes (LED) remain to be fully elucidated. We present integrative omic approaches to identify the impact on the metabolism of a single tomato plant leaf exposed to red LEDs of different intensities during the fruit development stage. Our special light delivery system, the “simplified source-sink model”, involves the exposure of a single leaf below the second truss to red LED light of different intensities. We evaluated fruit-size- and fruit-shape variations elicited by different light intensities. Our findings suggest that more than high-light treatment (500 mmol/m^2/s) with the red LED light is required to accelerate fruit growth for 2 weeks after anthesis. To investigate transcriptomic and metabolomic changes in leaf- and fruit samples we used microarray-, RNA sequencing-, and gas chromatography-mass spectrometry techniques. We found that metabolic shifts in the carbohydrate metabolism and in several key pathways contributed to fruit development, including ripening and cell-wall modification. Our findings suggest that the proposed workflow aids in the identification of key metabolites in the central metabolism that respond to monochromatic red-LED treatment and contribute to increase the fruit size of tomato plants. This study expands our understanding of systems-level responses mediated by low-, appropriate-, and high levels of red light irradiation in the fruit growth of tomato plants.

Dataset Information

Anthocyanin transcriptional profile and pigmentation pattern in the purple tomato fruit in response to light

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets